Presents MMIOC-1M benchmark with 1M+ samples across 14 super-categories and RTVPNet with domain projection, sparse sampling, and bidirectional interaction, claiming SOTA on MMIOC-1M, LVIS, and COCO.
Mamba yolo: Ssms-based yolo for object detection,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
SP-MoMamba uses superpixels to drive content-aware state space modeling and multi-scale mixture-of-experts for efficient single-image super-resolution.
citing papers explorer
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Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines
Presents MMIOC-1M benchmark with 1M+ samples across 14 super-categories and RTVPNet with domain projection, sparse sampling, and bidirectional interaction, claiming SOTA on MMIOC-1M, LVIS, and COCO.
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SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution
SP-MoMamba uses superpixels to drive content-aware state space modeling and multi-scale mixture-of-experts for efficient single-image super-resolution.